Factual package intelligence from PyPI
Detects and removes hallucinations from LLM-generated text using an NLI model to validate it against a provided context.
pip install guardrails-ai-provenance-nli
PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.10.0>=4.10.0>=3.6.0>=1.21.0>=0.4.0guardrails-ai-provenance-nli publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .